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3,629 papers
How many words can you write before a language model can infer who you are? This work went looking for that number and found that the question is malformed, which is itself the finding. 72 authors from the Blog Authorship Corpus, balanced across three age bands and both genders, were shown to local language models in g...
Deception probes on language models answer a binary question: is this response deceptive? Charts allow a graded one, because a chart rendered from its own distortion parameters has an exact Tufte Lie Factor. We render 1,685 charts from real statistical series under parameterised distortions and train linear probes on t...
Dreaming and large language model hallucination are usually studied apart, one as biology and the other as engineering. We argue they are two expressions of a single computation: generative reconstruction from distributed memory under incomplete constraints. Neither the sleeping brain nor an autoregressive model retrie...
RealAIGC: Towards More Realistic Evaluation of AI-Generated Code Detection in Real-World Code Repository Artifact Update (Camera Ready) In response to the latest feedback, we have substantially enhanced our replication materials in terms of dataset coverage, usability, and methodological transparency. RealAIGC++ Datase...
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Abstract Large Language Models (LLMs) play a critical role in how humans access information. While their core functionality relies on the ability to comprehend written requests, our understanding of this ability is currently constrained, because most benchmarks evaluate LLMs in high-resource languages that are predomin...
Short takeaway: Mnemorphics is a mega‑document—a merged research codex—combining acoustic metamaterials, shockwave diodes, energy‑harvesting physics, AI cognitive‑warfare systems, particle‑capture engineering, and large‑scale defensive architecture. It reads like a fusion of hard engineering, corrected physical models,...
This study develops a comparative benchmark for software effort estimation using the benchmark suite implemented in Python and the result package generated by that suite. Eleven regressors were compared under a leakage-safe protocol on a COCOMO-like dataset of 62 projects and 20 numeric predictors, with 49 projects res...
The mapped literature suggests that future policies should promote transparent, auditable, and participatory AI governance, support multilingual and culturally inclusive datasets, and integrate content moderation into broader digital public health and anti-discrimination strategies.
Title: Generative AI-Powered Pedagogical Agents in Immersive Environments for Social Sciences and Humanities Education: A Scoping Review Purpose This research project investigates how generative artificial intelligence (GenAI)-powered pedagogical agents and virtual instructors are being used within immersive virtual re...
AceSpec, an asymmetric edge-cloud collaborative framework that employs an asymmetric communication protocol that transmits minimal main-chain indices uplink and compact sparse distributions downlink and introduces a network-aware, Lagrangian-optimized resource allocation strategy that dynamically maximizes the local ca...
A two-axis taxonomy connecting six compression families to five semantic communication architectures is synthesized with a quantitative meta-analysis of the model-size-versus-semantic-fidelity Pareto frontier, synthesized with a quantitative meta-analysis of the model-size-versus-semantic-fidelity Pareto frontier.
It is shown that an auxiliary task such as BEV-Forcing can improve both in-distribution and out-of-distribution performance when training on a small number of camera rigs, and is presented as evidence that new techniques in the literature may see their benefits diminish when simply scaling up training diversity.
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